TY - JOUR
T1 - Identification of an altered matrix signature in kidney aging and disease
AU - Randles, Michael J.
AU - Lausecker, Franziska
AU - Kong, Qingyang
AU - Suleiman, Hani
AU - Reid, Graeme
AU - Kolatsi-Joannou, Maria
AU - Davenport, Bernard
AU - Tian, Pinyuan
AU - Falcone, Sara
AU - Potter, Paul
AU - van Agtmael, Tom
AU - Norman, Jill T.
AU - Long, David A.
AU - Humphries, Martin J.
AU - Miner, Jeffrey H.
AU - Lennon, Rachel
N1 - Publisher Copyright:
© 2021 by the American Society of Nephrology
PY - 2021/7
Y1 - 2021/7
N2 - Background Accumulation of extracellular matrix in organs and tissues is a feature of both aging and disease. In the kidney, glomerulosclerosis and tubulointerstitial fibrosis accompany the decline in function, which current therapies cannot address, leading to organ failure. Although histologic and ultrastructural patterns of excess matrix form the basis of human disease classifications, a comprehensive molecular resolution of abnormal matrix is lacking. Methods Using mass spectrometry-based proteomics, we resolved matrix composition over age in mouse models of kidney disease. We compared the changes in mice with a global characterization of human kidneymatrix during aging and to existing kidney disease datasets to identify common molecular features. Results Ultrastructural changes in basement membranes are associated with altered cell adhesion and metabolic processes and with distinct matrix proteomes during aging and kidney disease progression in mice. Within the altered matrix, basement membrane components (laminins, type IV collagen, type XVIII collagen) were reduced and interstitial matrix proteins (collagens I, III, VI, and XV; fibrinogens; and nephronectin) were increased, a pattern also seen in human kidney aging. Indeed, this signature of matrix proteins was consistently modulated across all age and disease comparisons, and the increase in interstitial matrix was also observed in human kidney disease datasets. Conclusions This study provides deep molecular resolution of matrix accumulation in kidney aging and disease, and identifies a common signature of proteins that provides insight into mechanisms of response to kidney injury and repair.
AB - Background Accumulation of extracellular matrix in organs and tissues is a feature of both aging and disease. In the kidney, glomerulosclerosis and tubulointerstitial fibrosis accompany the decline in function, which current therapies cannot address, leading to organ failure. Although histologic and ultrastructural patterns of excess matrix form the basis of human disease classifications, a comprehensive molecular resolution of abnormal matrix is lacking. Methods Using mass spectrometry-based proteomics, we resolved matrix composition over age in mouse models of kidney disease. We compared the changes in mice with a global characterization of human kidneymatrix during aging and to existing kidney disease datasets to identify common molecular features. Results Ultrastructural changes in basement membranes are associated with altered cell adhesion and metabolic processes and with distinct matrix proteomes during aging and kidney disease progression in mice. Within the altered matrix, basement membrane components (laminins, type IV collagen, type XVIII collagen) were reduced and interstitial matrix proteins (collagens I, III, VI, and XV; fibrinogens; and nephronectin) were increased, a pattern also seen in human kidney aging. Indeed, this signature of matrix proteins was consistently modulated across all age and disease comparisons, and the increase in interstitial matrix was also observed in human kidney disease datasets. Conclusions This study provides deep molecular resolution of matrix accumulation in kidney aging and disease, and identifies a common signature of proteins that provides insight into mechanisms of response to kidney injury and repair.
UR - http://www.scopus.com/inward/record.url?scp=85114064034&partnerID=8YFLogxK
U2 - 10.1681/ASN.2020101442
DO - 10.1681/ASN.2020101442
M3 - Article
C2 - 34049963
AN - SCOPUS:85114064034
SN - 1046-6673
VL - 32
SP - 1713
EP - 1732
JO - Journal of the American Society of Nephrology
JF - Journal of the American Society of Nephrology
IS - 7
ER -